1. Mapping the Data Warehouse to a Multiprocessor ArchitectureBy
N.Gopinath
AP/CSE

2. Mapping the Data Warehouse to a Multiprocessor Architecture
The goals of linear performance and scalability can be satisfied by parallel hardware architectures, parallel operating systems, and parallel DBMSs.
Parallel hardware architectures are based on Multi-processor systems designed as a Shared-memory model, Shared-disk model or distributed-memory model.
Parallelism can be achieved in three different ways:
Horizontal Parallelism (Database is partitioned across different disks)
Vertical Parallelism (occurs among different tasks – all components query operations i.e. scans, join, sort)
Data Partitioning

3. Database Architectures for Parallel Processing
Shared-memory Architecture -  multiple processors share the main memory space, as well as mass storage (e.g. hard disk drives)
Shared Disk Architecture - each node has its own main memory, but all nodes share mass storage, usually a storage area network
Shared-nothing Architecture - each node has its own mass storage as well as main memory.

4. Parallel RDBMS Features
Data Warehouse development requires a good understanding of all architectural components, including the data warehouse DBMS Platform.
Understanding the basic architecture of Warehouse database is the first step in evaluating and selecting a product.
The developers and users of the Warehouse should demand the following features from the DBMS vendor:
Scope and techniques of Parallel DBMS
Application Transparency
The Parallel environment
DBMS Management Tools
Price/ Performance

5. Parallel DBMS Vendors
Some of the most famous Vendors of Parallel DBMS are as follows;
ORACLE – for Oracle Parallel Server Option (OPS) and Parallel Query Option (PQO)
Informix – developed its Dynamic Scalable Architecture (DSA) to support Shared-Memory, Shared-Disk, and Shared-Nothing Models
Sybase – implemented in a product called SYBASE MPP
IBM – Used in DB2 Parallel Edition (DB2 PE), a Database based on DB2/6000 Server Architecture

6. Thank you…